1 citations · 1 across the 2 of their papers we have counts for
4 papers
Efficient and Accurate Lift-and-Decoupling Generalized Transferable Neural Networks for Elliptic and Moving Interface Problems
Tao Cheng, Junqing Jia, Lili Ju +1
In this paper, we propose a highly efficient and accurate method, called ``lift-and-decoupling generalized transferable neural network" (LD-GTransNet), for numerical solution of el…
AECSF: Adaptive Ensemble Conditional Score Filtering for High-Dimensional Nonlinear Data Assimilation
Yangwen Zhang, Shiwei Ni, Xiaoping Zhang +2
Bayesian state estimation for high-dimensional nonlinear dynamical systems entails a fundamental tension between statistical fidelity and computational tractability, as particle we…
Generalized Transferable Neural Networks for Steady-State Partial Differential Equations
Tao Cheng, Lili Ju, Zhonghua Qiao +1
Deep learning has emerged as a compelling framework for scientific and engineering computing, motivating growing interest in neural network-based solvers for partial differential e…
Deep surrogate model for learning Green's function associated with linear reaction-diffusion operator
Junqing Ji, Lili Ju, Xiaoping Zhang
In this paper, we present a deep surrogate model for learning the Green's function associated with the reaction-diffusion operator in rectangular domain. The U-Net architecture is…